Autonomous Driving AI V&V Intern: ML & Simulation

Nissan Motor Iberica SA; Santa Clara (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

Nissan is seeking an AI Autonomous Driving Verification & Validation Intern in Santa Clara, CA. You will work with a team to verify and validate AI-powered autonomous driving systems, designing tests and developing simulation-based evaluation frameworks.

This role emphasizes collaboration, ML, Python, and data-driven analysis to advance automated driving research. The internship targets Master’s or PhD candidates in CS/Robotics/AI-ML/EE, with a GPA of 3.0+, and onsite work at Santa Clara.

Qualifications

• Must be enrolled in a Master's or PhD program in a related field.
• Strong foundation in ML/AI and data-driven systems.
• Experience designing experiments, analyzing data, and communicating findings.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Familiarity with simulation environments and autonomous systems.
• GPA 3.0 or above; onsite work in Santa Clara, CA.

Responsibilities

• Design and execute simulation-based tests for AI-powered autonomous driving systems.
• Develop data-driven tools and metrics to evaluate system performance and reliability.
• Apply ML techniques to automate testing, validation, and monitoring processes.
• Analyze large-scale driving datasets to identify performance improvements.
• Collaborate with engineers and researchers to build safe, scalable autonomous solutions.

Skills

Python

Machine Learning

Data Analysis

Experiment Design

Team Collaboration

Education

Master's or PhD in CS/Robotics/AI-ML/EE

Tools

PyTorch

TensorFlow

Job description

Nissan is seeking an AI Autonomous Driving Verification & Validation Intern in Santa Clara, CA. You will work with a team to verify and validate AI-powered autonomous driving systems, designing tests and developing simulation-based evaluation frameworks.

This role emphasizes collaboration, ML, Python, and data-driven analysis to advance automated driving research. The internship targets Master’s or PhD candidates in CS/Robotics/AI-ML/EE, with a GPA of 3.0+, and onsite work at Santa Clara.